Skip to content

Instantly share code, notes, and snippets.

@zzJinux
zzJinux / medium.user.js
Last active June 17, 2025 11:10 — forked from mathix420/medium.user.js
Bypass Medium Paywall fork: do not redirect for free posts
// ==UserScript==
// @name Medium Paywall Bypass
// @namespace Violentmonkey Scripts
// @run-at document-start
// @match *://*.medium.com/*
// @grant none
// @version 2.4_3
// @inject-into content
// @updateURL https://gist.githubusercontent.com/zzJinux/364725e7c61810719286d94e88a4e38c/raw/medium.user.js
// @downloadURL https://gist.githubusercontent.com/zzJinux/364725e7c61810719286d94e88a4e38c/raw/medium.user.js

Hey r/learnmachinelearning

I'm writing this short post in response to this infographic post, The 4 Stages of Machine Learning. I basically replied to it saying that it encapsulates reasonably well ML in a research context, but not so much the greater problem of production ML systems. People asked me to expand on that so here it is.

What's my experience with production ML? Pretty limited, but my very short time in it has been eye-opening. I started a year long data engineering internship with Zendesk's ML product team in November 2016. It's the team that posted Serving Tensorflow in Production at Zendesk recently. Our product is [Automatic Answers](https://www.zend

/* Merge sort in C */
#include<stdio.h>
#include<stdlib.h>
// Function to Merge Arrays L and R into A.
// lefCount = number of elements in L
// rightCount = number of elements in R.
void Merge(int *A,int *L,int leftCount,int *R,int rightCount) {
int i,j,k;
@tsiege
tsiege / The Technical Interview Cheat Sheet.md
Last active July 24, 2025 13:35
This is my technical interview cheat sheet. Feel free to fork it or do whatever you want with it. PLEASE let me know if there are any errors or if anything crucial is missing. I will add more links soon.

ANNOUNCEMENT

I have moved this over to the Tech Interview Cheat Sheet Repo and has been expanded and even has code challenges you can run and practice against!






\